Java Architect - Storage

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.

DDN's A3I solutions are transforming the landscape of AI infrastructure. IDC

The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA

DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.

Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.

Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.

Role Overview:

highly experienced and self-driven Senior Architect

Java

Key Responsibilities:

• Define and own the

  architecture, design, and technical roadmap

  for S3DataService component.
• Lead the

  product lifecycle

  from requirements and design to development, testing, and release.
• Provide

  technical leadership, mentorship, and reviews

  for the engineering team.
• Drive improvements in

  performance, scalability, and reliability

  of distributed data systems.
• Collaborate with QA, DevOps, and Support (L3) teams to ensure stability and quality.
• Evaluate and implement

  customer-driven features

  in collaboration with Product Management.
• Ensure adherence to

  best practices, coding standards, and architectural principles

  .

Required Skills and Experience:

• Strong expertise in Java

  ,

  Spring Framework (Core, Boot, Data)

  , and

  server-side programming

  .
• Hands-on experience with

  Maven

  ,

  REST APIs

  , and

  microservices architecture

  .
• Solid understanding of

  system design

  ,

  architecture patterns

  , and

  distributed systems

  .
• Deep knowledge of

  data storage

  ,

  Big Data systems

  ,

  Cassandra

  ,

  Hadoop,

  and

  Elasticsearch

  .
• Experience with

  S3 object storage protocol

  and related storage technologies.
• Strong foundation in

  Linux

  ,

  networking

  , and

  infrastructure-level debugging

  .
• Proven ability to lead design and implementation for

  large-scale enterprise systems

  .
• Excellent analytical, communication, and problem-solving skills.
• Self-sufficient, proactive, and capable of working independently with minimal supervision.

• Experience with

  Python

  ,

  containerization (Podman/Docker/Kubernetes)

  , and CI/CD workflows.
• Prior experience with

  distributed file systems

  or

  high-availability storage solutions

  .
• Understanding of

  security

  ,

  data consistency

  , and

  fault-tolerant architectures

  .